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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 4/23/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
High
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Low
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
Manufactured Building and Mobile Home Installers are somewhat more resilient to AI impacts than most occupations, according to our analysis of 5 sources.
The career of Manufactured Building and Mobile Home Installers is labeled as "Mostly Resilient" because the core tasks, like setting up and finishing installations, require human skills such as judgment, physical dexterity, and the ability to problem-solve on the spot. While AI and automation tools can assist with planning and diagnostics, they don't replace the hands-on work that skilled installers do, especially in unpredictable and unique job site conditions.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is mostly resilient
The career of Manufactured Building and Mobile Home Installers is labeled as "Mostly Resilient" because the core tasks, like setting up and finishing installations, require human skills such as judgment, physical dexterity, and the ability to problem-solve on the spot. While AI and automation tools can assist with planning and diagnostics, they don't replace the hands-on work that skilled installers do, especially in unpredictable and unique job site conditions.
Read full analysisAnalysis of Current AI Resilience
Bldg. & MH Installers
Updated Quarterly • Last Update: 2/17/2026

Most work of mobile‐home installers is still done by people, not robots. The heavy lifting and setting up of trailers or prefab walls happens with trucks and cranes – and today those machines need human operators. Companies like Caterpillar have researched self-steering dozers and cranes, but practical use on real sites is still at most trial stages [1] [1].
In fact, robots that can place big prefab panels with precision have been demonstrated in controlled factory settings [2], but on vibrating, ever-changing sites (with uneven ground and narrow space) installers’ hands and judgment are still needed [1] [1]. Similarly, plumbing and wiring tasks (like connecting hoses or fixing frayed wires) remain manual. There are smart tools – for example, AI-powered leak detectors and pressure sensors (Flood sensors like Moen Flo or Phyn) monitor pipes for leaks [3] – but the actual hook-up of hoses or repair of pipes is done by skilled installers.
Even job postings list only basic computer tools (email, spreadsheets) as needed skills [4], suggesting advanced AI systems aren’t common in daily work. In short, AI and automation mostly play supporting roles (for leak-detection, diagnostics or planning), while the core setup and finishing work relies on human skill.

AI and robots could help with some parts of modular building, but use in this field has been slow. The technology exists mainly in specialized factories or labs, not on every jobsite. For example, studies show that fully automated modular factories can cut labor needs (and save time) by a lot, but they require huge investment – on the order of three times the equipment cost of a manual shop [5].
On a typical installation crew (at roughly $20/hour pay [4]), buying expensive robots won’t pay off quickly. In construction generally, experts note that sites are chaotic and unique, which makes autonomous machines hard to use safely [1] [1]. Workers may be in short supply in some areas, but the unpredictability of each site and licensing rules (plumbing, electrical codes) also mean people are preferred for now.
Socially, homeowners and regulators tend to trust skilled tradespeople for complex tasks. Overall, most employers are not rushing in; they might adopt things like planning software or AI training tools (even VR practice for installers [3]), but the heart of the job – measuring, adjusting, and seeing problems on the spot – remains human. Young installers can take heart: machines help with data or training, but real‐world problem solving and hands‐on work are still very much human strengths [1] [5].

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They set up and secure manufactured buildings and mobile homes, making sure they are safely placed and ready for people to live in.
Median Wage
$41,080
Jobs (2024)
3,100
Growth (2024-34)
+5.9%
Annual Openings
300
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Reset hardware, using chisels, mallets, and screwdrivers.
Move and set up mobile homes or prefabricated buildings on owners' lots or at mobile home parks.
List parts needed, estimate costs, and plan work procedures, using parts lists, technical manuals, and diagrams.
Locate and repair frayed wiring, broken connections, or incorrect wiring, using ohmmeters, soldering irons, tape, and hand tools.
Remove damaged exterior panels, repair and replace structural frame members, and seal leaks, using hand tools.
Repair leaks in plumbing or gas lines, using caulking compounds and plastic or copper pipe.
Connect electrical systems to outside power sources and activate switches to test the operation of appliances and light fixtures.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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